Google AI Overviews, AI Mode, Perplexity, Gemini, ChatGPT, Copilot - this Outrank user is cited in all of them 🤩 AIApply is an AI job-application tool product-led lean team, so SEO kept getting deprioritized Aidan, their CEO, says "content was 'when we can,' not systematic, so momentum never really built" and now "with Outrank we got real visibility inside AI Overviews and ChatGPT-style answers" love seeing our users win like this ❤️

Time Travel by Photomyne lets you upload a photo and see it reimagined in any era, from 1850 to today. The before and after is wild. #timetravelapp# #photomyne# #timetravel# #aiapp#

AI is real. But the LLM-token economy still looks like a bubble. The money flow is simple: Enterprise → LLM → GPU → Memory Investors are moving upstream in search of certainty. No one knows which AI app will win, so they buy the LLM labs. No one knows whether OpenAI, Anthropic, Google, Meta, or xAI will win, so they buy NVIDIA. No one knows how durable GPU demand is, so they buy memory. Every layer looks safer than the one below it. But that certainty is an illusion. The entire chain is still funded by the layer closest to real ROI. Enterprises pay for tokens because they are trying to prove LLM adoption works. But so far, LLM productivity gains have not clearly translated into revenue growth. Consumers are not obviously buying more. Expenses are not obviously falling either. Most AI-related layoffs look more like companies using LLMs to rationalize previous overhiring. The layoffs truly driven by “AI efficiency” often create backlash, operational problems, or quality issues. When hallucination is still unsolved, critical work still needs human supervision. So the economics are awkward: no obvious revenue lift, no obvious expense reduction, and a new token bill on top. Meanwhile, customers are not receiving much of the surplus. They are not getting better products at lower prices. They are getting higher prices, worse content, and weaker job security. Personally, I hate this most when I see gaming consoles getting more expensive, PCs getting more expensive, Macs getting more expensive, and the internet filling up with lower-quality AI slop. If consumers do not spend more, the companies selling to them cannot justify ever-growing LLM expenses. And enterprises do not need to abandon LLMs for the chain to break. They only need to slow the growth of LLM spending.

Grok AI app card now live on profiles! 🚀🚀 Currently only on @attilablenesi (Android Dev). Tap the Grok AI card and it takes you straight to the Play Store to download. One tap. Super easy for anyone who hasn’t got the app yet. Not on other profiles yet. Looks clean! 🔥🔥🔥

the AI app tech stack is basically solved. nextjs, vercel, convex, clerk, stripe, tailwind. pick your models, ship. what's not solved is the layer underneath your agents. where does context live between sessions? how does cursor's memory stay separate from claude code's memory when they're both working the same repo? the stack gets you to demo day. scoped persistent memory is what gets you past it.

The AIAPGET 2026 Application Correction Window is now open. Candidates can edit details in the permitted fields from 01 August to 02 August 2026 (up to 11:50 PM). Review your application carefully and complete all eligible corrections within the stipulated timeline. #AIAPGET2026# #NTA# #AYUSH# #ApplicationCorrection# #MedicalEducation#

The 𝗔𝗜𝗔𝗣𝗚𝗘𝗧 𝟮𝟬𝟮𝟲 application process has started. Candidates aspiring for postgraduate AYUSH programmes can now apply at Submit your application early for a smooth experience. #NTA# #NTAUpdate# #NTAExams# #AYUSH# #AIAPGET2026#